Use of auxiliary variables in searching efficient estimator of population mean Online publication date: Fri, 18-May-2018
by S.K. Yadav; Dinesh K. Sharma; S.S. Mishra; Alok Kumar Shukla
International Journal of Multivariate Data Analysis (IJMDA), Vol. 1, No. 3, 2018
Abstract: The paper deals with the improvement in Yadav et al. (2016) estimator of the population mean using the known coefficient of kurtosis and median of the auxiliary variable. The large sample properties of the estimator, bias and mean squared error (MSE), have been calculated up to the first order of approximation. The optimum values of the characterising scalars which minimise the MSE of the proposed estimator have been obtained. A comparative study has been conducted with the existing estimators of the population mean using auxiliary variable under simple random sampling scheme. To justify the improvement of proposed estimator over Yadav et al. (2016) and other estimators of the population mean, an empirical study is also presented by calculating the mean squared errors of the different estimator of the population mean under simple random sampling.
Online publication date: Fri, 18-May-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Multivariate Data Analysis (IJMDA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com